IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v360y2017icp150-162.html
   My bibliography  Save this article

Seasonal succession of microalgal blooms from diatoms to dinoflagellates in the East China Sea: A numerical simulation study

Author

Listed:
  • Zhou, Zheng-Xi
  • Yu, Ren-Cheng
  • Zhou, Ming-Jiang

Abstract

The sea area adjacent to the Changjiang River estuary is the most notable region for harmful algal blooms (HABs) of dinoflagellates in China. Large-scale blooms of dinoflagellates (ig. Prorocentrum donghaiense and Karenia mikimotoi) started to appear in this region at the beginning of the 21st century, and the mechanisms for the occurrence of dinoflagellate blooms have become an intriguing issue since then. In previous studies, an apparent succession of microalgal blooms from diatoms to dinoflagellates, due to their competition and the different adaptive strategies to environmental variations, have been found in late spring. Therefore, a better understanding on the succession of different microalgal blooms would help to elucidate the mechanisms of the large-scale dinoflagellate blooms. In this study, a zero-dimensional numerical model was established to simulate the succession of microalgal blooms based on the field investigation data in 2005 and 2011. The model could well reproduce dynamics of the diatom and dinoflagellate blooms. Using this model, analyses were performed under different scenarios to analyze the effects of temperature, light intensity and nutrients on the succession of microalgal blooms. The results suggest that temperature and light have little effects on the succession. Phosphorous stress is the most critical factor controlling the succession of microalgal blooms, while nitrate plays an important role in affecting the scale of dinoflagellate bloom. The results further improved the current understandings on the mechanisms of large-scale dinoflagellate blooms in the East China Sea, and would help to develop prevention strategies against HABs in this region.

Suggested Citation

  • Zhou, Zheng-Xi & Yu, Ren-Cheng & Zhou, Ming-Jiang, 2017. "Seasonal succession of microalgal blooms from diatoms to dinoflagellates in the East China Sea: A numerical simulation study," Ecological Modelling, Elsevier, vol. 360(C), pages 150-162.
    • Handle: RePEc:eee:ecomod:v:360:y:2017:i:c:p:150-162
    DOI: 10.1016/j.ecolmodel.2017.06.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380016306871
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2017.06.027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Markensten, Hampus & Pierson, Donald C., 2007. "Weather driven influences on phytoplankton succession in a shallow lake during contrasting years: Application of PROTBAS," Ecological Modelling, Elsevier, vol. 207(2), pages 128-136.
    2. Mutshinda, Crispin M. & Finkel, Zoe V. & Irwin, Andrew J., 2013. "Which environmental factors control phytoplankton populations? A Bayesian variable selection approach," Ecological Modelling, Elsevier, vol. 269(C), pages 1-8.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gao, Shufei & Shen, Anglu & Jiang, Jie & Wang, Hao & Yuan, Sanling, 2022. "Kinetics of phosphate uptake in the dinoflagellate Karenia mikimotoi in response to phosphate stress and temperature," Ecological Modelling, Elsevier, vol. 468(C).
    2. Hao Xu & Shangwei Jiang & Jialin Li & Ruiliang Pu & Jia Wang & Wanghai Jin & Longbin Sha & Dongling Li, 2020. "Biogenic Silica and Organic Carbon Records in Zhoushan Coastal Sea over the Past One Hundred Years and Their Environmental Indications," IJERPH, MDPI, vol. 17(11), pages 1-14, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moe, S. Jannicke & Haande, Sigrid & Couture, Raoul-Marie, 2016. "Climate change, cyanobacteria blooms and ecological status of lakes: A Bayesian network approach," Ecological Modelling, Elsevier, vol. 337(C), pages 330-347.
    2. Rigosi, Anna & Rueda, Francisco J., 2012. "Propagation of uncertainty in ecological models of reservoirs: From physical to population dynamic predictions," Ecological Modelling, Elsevier, vol. 247(C), pages 199-209.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:360:y:2017:i:c:p:150-162. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.